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Post-classification Validation (detecting false-positives)

Post-classification validation generates video clips of each detected (classified) behavioral bout in the videos in your SimBA project. SimBA will create clips for each video that is represented by a (i) file inside the project_folder/csv/machine_results directory, and (ii) a video file inside the project_folder/videos directory. This tool can help us visualize any potential false-positives in the classifaction results.

  1. Load your SimBA project and click on the [Classifier validation] tab, and you should see the following sub-menu:

  • The Seconds entry-box: Sometimes it can be difficult to understand the context if we only see the classified behavior bout, and we want to introduce a little temporal "padding" pre- and post-behavioral bout to get a better understand of what is going on. In this entry-box, enter the number of seconds pre- and post-behavioral bout that should be included in the output video clips.

  • The Target drop-down menu: Select which behavioral classifications should be visualized in the output video clips.

  • The One clip per bout checkbox: If you want to store the results as a separete video file for each detected bout, tick the One clip per bout checkbox. For example, if SimBA has detected 50 behavioral bouts, ticking this checkbox will create 50 separate video files.

  • The One clip per video checkbox: If you want to store the results from each separate video as a single output video file, tick the One clip per video checkbox. For example, if SimBA has detected 50 behavioral bouts in Video 1, a single video file representing Video 1 with the 50 behavioral bouts will be created.

How to use it

  1. Enter 1 or 2 in the Seconds entry box. Note: the larger the seconds, the longer the duration of the video.*

  2. Select the target behavior from the Target dropdown box.

  3. Tick the One clip per bout and/or the One clip per video checkboxes.

  4. Click Validate button and the videos will be generated in /project_folder/frames/output/classifier_validation. The name of the video will be formated in the following manner: videoname + target behavior + number of bouts + .mp4

Author Simon N, JJ Choong